Abstract
Vibrations induced by vehicular traffic are of increasing concern in urban areas, especially because of nuisance issues perceived by inhabitants and possible damage problems experienced by exposed heritage buildings. Among the several countermeasures aiming at reducing the level of vibration at source or at mitigating the propagation of ground-borne vibration through pavement layers and underlying soils, the use of anti-vibrating trenches may offer an interesting solution in mitigating the vibrations caused by heavy vehicle traffic. In this paper, an original vibration prediction numerical model is developed and proposed that may help in the design procedure of such countermeasures. Following an initial calibration of the numerical model and a validation with experimental results derived by technical literature, preliminary findings obtained by making use of different materials and complex trench layouts are briefly presented and reviewed. It is acknowledged that an evaluation in frequency domain may offer an effective tool to retrofit existing urban road exposed to this issue.
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Acknowledgements
This study was carried out within the MOST – Sustainable Mobility Center and received funding from the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) – MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4 – D.D. 1033 17/06/2022, CN00000023). The research leading to these results has also received funding by Project “Ecosistema dell’innovazione Rome Technopole” financed by EU in NextGenerationEU plan through MUR Decree n. 1051 23.06.2022 - CUP H33C22000420001.
This manuscript reflects only the authors’ views and opinions, neither the European Union nor the European Commission can be considered responsible for them.
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D’Apuzzo, M., Evangelisti, A., Cappelli, G., Nicolosi, V. (2023). Sustainable Retrofitting of Urban Streets for Mitigation of Traffic Vibration by Means of Anti-vibrating Trenches. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14111. Springer, Cham. https://doi.org/10.1007/978-3-031-37126-4_13
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